Question 1

Which of the following is the GREATEST risk when an organization relies only on adversarial training toprotect a private AI model in a testing environment?

Options :

A : Inefficient model training cycles

B : Presence of unaddressed system vulnerabilities

C : Overfitting to limited datasets

D : Increased likelihood of exposing proprietary algorithms

Answer: B

Question 2

Which of the following is the PRIMARY benefit of tailoring AI governance to an organization's culture andrisk tolerance?

Options :

A : Improved AI model explainability and regulatory compliance

B : Higher stakeholder acceptance rates and more appropriate AI risk policies

C : Automation of risk assessment processes and clearer AI risk accountability

D : Enhanced AI training programs and staff reskilling initiatives

Answer: B

Question 3

A risk practitioner reviews an AI model that ingests diverse external feeds and determines that their reliabilityis not consistent. Which of the following BEST mitigates this risk?

Options :

A : Weighting historical records over recent samples to limit induced variance

B : Updating to the latest model version to accurately reflect real-world data changes

C : Establishing data provenance and implementing stage gate quality reviews

D : Reducing the diversity of the external feeds and the number of classes

Answer: C

Question 4

A risk practitioner is evaluating AI model cards and documentation prior to deployment. Which of thefollowing represents the GREATEST risk to enterprise AI governance?

Options :

A : Delays in regulatory filings

B : Inadequate explainability

C : Decentralized version control

D : Overly detailed technical specifications

Answer: B

Question 5

Which of the following is MOST important to evaluate when selecting a vendor for a third-party largelanguage model (LLM)?

Options :

A : Whether the vendor's service level agreements (SLAs) align with corporate strategy

B : How the vendor selects machine learning (ML) methods

C : Whether the vendor offers subscription-based service options

D : How the vendor handles data during model training and inference

Answer: D